164 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "J" Fellowship positions at Nanyang Technological University
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establish a Climate Transformation Programme (CTP) at NTU. As part of this programme, the Climate Finance Cluster will assess the multifaceted business risks posed by the physical impacts of climate change
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have the ability to be excited about working in a diverse lab group setting, plan and conduct assessments independently and collaboratively, interpret data, and present results to diverse audiences
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the following areas: Matlab and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM) Rapid Prototyping (3D printing, Raspberry Pi, FPGA) Optional experience
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
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for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state-of-the-art AI techniques. Mastering of a
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characterization (SEM, TEM, XPS, FTIR, etc.) Programming skills (Python, MATLAB, or similar) Exposure to machine learning methods (e.g., Bayesian optimization, active learning) is an advantage Understanding
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students enrolled in the Master of Science in Blockchain programme, particularly those undertaking six-month capstone projects. Contribute to teaching, tutorials, or guest lectures in courses relevant
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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in at least one programming language for data science and numerical computing (e.g., Python, Fortran). We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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required to substantially advance a research programme on single‑photon, label‑free optical imaging by integrating in‑house single‑photon detectors with a scanning microscope platform. The role will build